Gastroenterology

Inflammatory Bowel Disease

Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.

3,136 articles
Stay Ahead - Weekly Inflammatory Bowel Disease research updates
Subscribe
Browse Categories
Showing 1051-1071 of 3,136 articles
Applications of generative artificial intelligence in inflammatory bowel disease: A systematic review.

BACKGROUND AND AIMS: Inflammatory bowel diseases (IBD) are chronic conditions that can lead to a phy...

May 2025 40348628
Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models

The generation of realistic medical images from text descriptions has significant potential to add...

Revisiting the role of steroidal therapeutics in the 21st century: an update on FDA approved steroidal drugs (2000-2024).

Steroids are biologically active polycyclic compounds that have garnered significant scientific atte...

May 2025 40352672
From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease.

Inflammatory bowel disease (IBD), comprising ulcerative colitis and Crohn's disease, is a chronic in...

May 2025 40345659
Sim2Real in endoscopy segmentation with a novel structure aware image translation

Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doct...

Application of Machine Learning Techniques to the Prediction of Onset and Persistence of Binge Eating: A Prospective Study.

OBJECTIVE: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical ...

(1)
May 2025 39587822
LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.

Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS...

May 2025 40346860
[Role of Artificial Intelligence in Improving Quality of Colonoscopy].

Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...

Apr 2025 40276831
PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation

Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-trut...

(1)
FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention

Colonoscopy is vital in the early diagnosis of colorectal polyps. Regular screenings can effective...

Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network

Inflammatory bowel disease (IBD) involves chronic inflammation of the digestive tract, with treatm...

Artificial intelligence-assisted approach to assessing bowel wall thickness in pediatric inflammatory bowel disease using intestinal ultrasound images.

BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopie...

(1)
Apr 2025 40052532
AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models

In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. ...

(3)
PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy a...

(1)
Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

Introduction: This study provides a comprehensive performance assessment of vision-language models...

LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images

Colorectal cancer (CRC) is a major global cause of cancer-related deaths, with early polyp detecti...

3D Densification for Multi-Map Monocular VSLAM in Endoscopy

Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endos...

Toward a Human-Centered AI-assisted Colonoscopy System in Australia

While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on...

Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning

Body Dysmorphic Disorder (BDD) is a highly prevalent and frequently underdiagnosed condition chara...

(3)
Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores From Colonoscopy Reports.

BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activ...

Mar 2025 38533919
Browse Categories